CN111371826B - CDN node performance detection method, device and system - Google Patents
CDN node performance detection method, device and system Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
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- H04L61/00—Network arrangements, protocols or services for addressing or naming
- H04L61/45—Network directories; Name-to-address mapping
- H04L61/4505—Network directories; Name-to-address mapping using standardised directories; using standardised directory access protocols
- H04L61/4511—Network directories; Name-to-address mapping using standardised directories; using standardised directory access protocols using domain name system [DNS]
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
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- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
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Abstract
The invention discloses a method, a device and a system for detecting the performance of CDN nodes. Wherein the method comprises the following steps: respectively transmitting a device identifier set which is obtained in advance and contains a plurality of target network device identifiers to a plurality of CDN nodes; receiving node equipment monitoring values between the node returned by each CDN node and each target network equipment corresponding to each target network equipment identifier contained in the equipment identifier set; and determining a performance detection result corresponding to each CDN node and each target network device according to the monitoring value of each node device returned by each CDN node. Therefore, in the method disclosed by the invention, the performance detection result corresponding to each CDN node and each target network device can be determined. The performance detection result can reflect the performance effect when the CDN node covers a certain target network device, so that the performance condition when each CDN node covers a certain area is predicted in advance, the CDN node with the optimal performance can be selected for covering, and the user experience is improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method, a device and a system for detecting performance of CDN nodes.
Background
The content delivery network (Content Delivery Network, CDN) nodes enable users to access desired resources nearby, thereby improving the speed of resource access. In the prior art, a plurality of different CDN nodes are often set in a plurality of different regions, and each CDN node is responsible for providing services for users in neighboring regions.
However, the inventors have found that the above-described manner in the prior art has at least the following drawbacks in the implementation of the present invention: because of the limited number of distribution CDN nodes, for some areas that are not directly covered by CDN nodes, indirect coverage by CDN nodes in neighboring areas is required. In general, the number of CDN nodes in the neighboring area is often more than one, and since the performance situation when each CDN node covers a certain area cannot be predicted in the prior art, the CDN node with the optimal performance cannot be selected for coverage, thereby affecting user experience.
Therefore, there is a need in the art for a way to accurately predict the performance effect of each CDN node when covering a specific area, so as to provide assistance for CDN node scheduling.
Disclosure of Invention
In view of the foregoing, the present invention is directed to a method, apparatus, and system for detecting the performance of a CDN node that overcomes or at least partially solves the foregoing problems.
According to one aspect of the present invention, there is provided a method for detecting performance of a CDN node, including:
respectively transmitting a device identifier set which is obtained in advance and contains a plurality of target network device identifiers to a plurality of CDN nodes;
receiving node equipment monitoring values between the node returned by each CDN node and each target network equipment corresponding to each target network equipment identifier contained in the equipment identifier set;
and determining performance detection results corresponding to each CDN node and each target network device according to the monitoring values of each node device returned by each CDN node.
According to another aspect of the present invention, there is provided a performance probe apparatus for a CDN node, including:
the device identification set sending module is suitable for respectively sending the device identification set which is obtained in advance and contains a plurality of target network device identifications to a plurality of CDN nodes;
the node equipment monitoring value receiving module is suitable for receiving node equipment monitoring values between the node returned by each CDN node and each target network equipment corresponding to each target network equipment identifier contained in the equipment identifier set;
the performance detection result determining module is suitable for determining performance detection results corresponding to each CDN node and each target network device according to each node device monitoring value returned by each CDN node.
According to still another aspect of the present invention, there is provided a performance probe system of a CDN node, including:
the performance detection device of the CDN node and a plurality of CDN nodes respectively connected with the performance detection device.
According to still another aspect of the present invention, there is provided an electronic apparatus including: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface are communicated with each other through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the performance detection method of the CDN node.
According to still another aspect of the present invention, there is provided a computer storage medium, where at least one executable instruction is stored, the executable instruction causes a processor to perform operations corresponding to the performance probing method of CDN nodes.
In the method, the device and the system for detecting the performance of the CDN node, which are disclosed by the invention, the device identification set which is obtained in advance and contains a plurality of target network device identifications can be respectively sent to a plurality of CDN nodes, and the performance detection result corresponding to each CDN node and each target network device is determined according to the node device monitoring value between the node returned by each CDN node and each target network device corresponding to each target network device identification contained in the device identification set. The performance detection result can reflect the performance effect when the CDN node covers a certain target network device, so that the performance condition when each CDN node covers a certain area is predicted in advance, the CDN node with the optimal performance can be selected for covering, and the user experience is improved.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
FIG. 1 is a flow chart illustrating a method for detecting performance of CDN nodes according to an embodiment of the present invention;
fig. 2 is a flow chart illustrating a method for detecting the performance of a CDN node according to another embodiment of the present invention;
FIG. 3 is a device configuration diagram of a performance probe device for CDN nodes according to another embodiment of the present invention;
fig. 4 shows a schematic structural diagram of an electronic device according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a CDN node performance detection system according to another embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Fig. 1 is a flow chart illustrating a method for detecting the performance of a CDN node according to an embodiment of the present invention. As shown in fig. 1, the method includes:
step S110: and respectively transmitting the device identifier sets which are acquired in advance and contain the plurality of target network device identifiers to a plurality of CDN nodes.
The device identification set is used for storing a plurality of target network device identifications in the whole network range, and each target network device identification corresponds to one target network device to be monitored. In order to enable effective monitoring within the whole network, the target network devices corresponding to the target network device identifications stored in the device identification set are distributed over various regions.
And the device identification set is respectively sent to each CDN node in the plurality of CDN nodes, so that each CDN node can monitor target network devices corresponding to each target network device identification in the device identification set.
Step S120: and receiving node equipment monitoring values between the node returned by each CDN node and each target network equipment corresponding to each target network equipment identifier contained in the equipment identifier set.
After each CDN node receives the set of device identifiers, it needs to monitor a target network device corresponding to each target network device identifier in the set of device identifiers, so as to determine a node device monitoring value between the node and each target network device. Therefore, each CDN node respectively generates a plurality of node equipment monitoring values, and each CDN node reports the node equipment monitoring values generated by the node to an execution body in the invention. Each node device monitoring value corresponds to a CDN node and a target network device, and is configured to reflect performance of the CDN node when accessing the target network device.
Step S130: and determining performance detection results corresponding to each CDN node and each target network device according to the monitoring values of each node device returned by each CDN node.
In this step, by collecting and summarizing the monitoring values of each node device returned by each CDN node, the performance detection results corresponding to each target network device by each CDN node can be determined. The performance detection result is used for reflecting performance when the CDN node communicates with the target network equipment. In practical situations, a CDN node may generate a plurality of node device monitoring values corresponding to different monitoring periods for the same target network device, and accordingly, when determining a performance detection result between the CDN node and the same target network device, the node device monitoring values of the plurality of different monitoring periods need to be synthesized for processing. Therefore, the performance detection result is determined according to the monitoring value of the node equipment, and the specific determination mode depends on the actual application scene, so that the invention is not limited.
Therefore, in the performance detection method of the CDN node disclosed by the present invention, the device identifier set including the plurality of target network device identifiers obtained in advance can be sent to the plurality of CDN nodes, and the performance detection result corresponding to each CDN node and each target network device can be determined according to the node device monitoring value between the node returned by each CDN node and each target network device corresponding to each target network device identifier included in the device identifier set. The performance detection result can reflect the performance effect when the CDN node covers a certain target network device, so that the performance condition when each CDN node covers a certain area is predicted in advance, the CDN node with the optimal performance can be selected for covering, and the user experience is improved.
Fig. 2 is a flow chart illustrating a method for detecting the performance of a CDN node according to another embodiment of the present invention. In this embodiment, the execution body of the method is a network device capable of implementing a control function, such as a central control server, where the central control server is respectively connected to a plurality of CDN nodes, so as to implement mutual communication with each CDN node. The CDN nodes are distributed over different regions to reflect information within the whole network. In addition, in this embodiment, the target network device identifier is a target network device IP address, and of course, in other embodiments of the present invention, the target network device identifier may be other information capable of uniquely identifying one network device, such as a device name. As shown in fig. 2, the method includes:
Step S200: filtering candidate equipment IP addresses which accord with preset filtering rules in the pre-collected candidate equipment IP addresses to obtain an equipment identification set containing a plurality of target network equipment identifications.
Wherein the candidate device IP address refers to: the IP address of the target network device that was collected before the filtering operation was performed. Wherein the target network device identification (i.e., target network device IP address) may be determined in a number of ways:
for example, in one manner, a plurality of target network device identifiers are determined according to an IP address of a preset machine room. The IP address of the preset machine room mainly refers to an IP address of a machine room of a preset company (for example, a company with a size exceeding a preset rule), or an IP address of a machine room of a website with a large portal volume. The IP address of the target network equipment determined by the mode has better stability. In other ways, the IP addresses of the client devices of the individual users may also be collected, but such IP addresses have poor stability.
As another example, in yet another manner, a plurality of target network device identifications are determined from domain name query records received by the authoritative DNS server from the local DNS server. Because the authoritative DNS server will continuously receive domain name query requests from local DNS servers in various places and return corresponding domain name query results. The domain name query record corresponding to the query process is recorded through the log file of the authorized DNS server. Correspondingly, the IP address of the network equipment with higher query frequency can be extracted as the target network equipment identifier by analyzing the log file of the authorized DNS server. The mode is extracted according to the query frequency of the network equipment, and the network equipment with higher stability is easy to extract. Of course, the network device corresponding to the monitoring point can also be obtained by a third party, and the network device is provided by the third party and has higher stability.
The method is not limited by the collection mode of the target network equipment identification, and only network equipment with comprehensive coverage region range and abundant quantity can be collected. In order to ensure the quality of the collected network target device identifiers, in this embodiment, a preset filtering rule is further set to filter the target network device identifiers with poor quality. The preset filtering rule can filter the device identifiers of some target network devices with poor quality from the aspects of transmission delay, online time and the like of the network devices so as to improve the accuracy of subsequent performance detection.
It can be seen that each target network device identifier included in the device identifier set in this embodiment is a network device with higher quality after screening, and can be monitored as a sample point, so as to infer the communication condition of the network devices near the sample point according to the monitoring result of the sample point (i.e., the target network device).
In addition, in order to further improve accuracy of the subsequent monitoring result, in this step, weights are further set for each target network device corresponding to each target network device identifier included in the device identifier set according to factors such as stability of each target network device corresponding to each target network device identifier included in the device identifier set, device on-line time, and/or link information corresponding to the device. For example, the better the stability, the longer the device online time and/or the higher the weight of the target network device for which the device's corresponding link state is better; conversely, the lower the weight. By setting the weight, the sample points with good quality can be monitored in a key way, so that the reliability of the result is improved.
Step S210: and respectively transmitting the device identifier sets which are acquired in advance and contain the plurality of target network device identifiers to a plurality of CDN nodes.
The device identification set is used for storing a plurality of target network device identifications in the whole network range, and each target network device identification corresponds to one target network device to be monitored. In order to enable effective monitoring within the whole network, the target network devices corresponding to the target network device identifications stored in the device identification set are distributed over various regions. For example, it includes: the network equipment of Beijing Unicom, shanghai Unicom, tianjin telecommunication, shenzhen mobile, etc.
The central control server respectively sends the equipment identification set to each CDN node in the plurality of CDN nodes, so that each CDN node can monitor target network equipment corresponding to each target network equipment identification in the equipment identification set. Wherein, each CDN node connected with the central control server is distributed over each region of the country. For example, it includes: CDN nodes of Beijing UNICOM, CDN nodes of Nanjing mobile, CDN nodes of Hangzhou UNICOM, etc.
Step S220: and receiving node equipment monitoring values between the node returned by each CDN node and each target network equipment corresponding to each target network equipment identifier contained in the equipment identifier set.
After each CDN node receives the set of device identifiers, it needs to monitor a target network device corresponding to each target network device identifier in the set of device identifiers, so as to determine a node device monitoring value between the node and each target network device. Specifically, each CDN node calculates a monitoring value of each node device between the node and each target network device according to a packet loss rate and/or a transmission delay between the node and each target network device.
For example, assuming that the first CDN node is a CDN node of beijing UNICOM, the set of device identifiers includes at least the following three target network device IP addresses: IP1 is network equipment of Beijing Unicom, IP2 is network equipment of Shanghai Unicom, and IP3 is network equipment of Tianjin telecommunication. The first CDN node needs to send PING (Packet Internet Groper, internet packet explorer) instructions for the three target network devices IP addresses respectively, so as to determine a packet loss rate and/or a transmission delay between the first CDN node and each target network device, and calculate a monitoring value of each node device between the first CDN node and each target network device according to the packet loss rate and/or the transmission delay. For example, since IP1 and the first CDN node belong to beijing, the transmission delay between IP1 and the first CDN node is 10ms; the regional difference between the IP2 and the first CDN node is far, so that the transmission delay between the IP2 and the first CDN node is 200ms; the transmission delay between IP3 and the first CDN node is 20ms. Correspondingly, the first CDN node determines a node equipment monitoring value between the node and each IP according to the monitoring result. The packet loss rate is not described in the above examples, but actually, the packet loss rate may be converted into a transmission delay according to a certain conversion rule, and a specific value of the node device monitoring value may be calculated according to the value of the transmission delay. For example, a packet loss rate may be converted to a transmission delay of 10 ms. Or, a certain weight may be given to the packet loss rate and the transmission delay, and then a weighting operation is performed on the packet loss rate value and the transmission delay value, so as to determine the monitoring value of the node device. Of course, in actual situations, besides the packet loss rate and the transmission delay, the monitoring value of the node device can be determined by combining other factors, which is not limited by the present invention. In general, the higher the packet loss rate and/or the longer the transmission delay, the lower the node equipment monitoring value; the lower the packet loss rate and/or the shorter the transmission delay, the higher the node device monitoring value. Correspondingly, in the above example, the node device monitoring value between the first CDN node and IP1 is greater than the node device monitoring value between the first CDN node and IP3, the node device monitoring value between the first CDN node and IP3 is greater than the node device monitoring value between the first CDN node and IP 2.
Each node device monitoring value corresponds to a CDN node and a target network device, and is configured to reflect performance of the CDN node when accessing the target network device. Accordingly, each node device monitoring value includes at least one of the following items of information: the node identifier of the CDN node that generates the node device monitoring value (for identifying the CDN node corresponding to the node device monitoring value), the network device identifier of the target network device corresponding to the node device monitoring value (for identifying the target network device corresponding to the node device monitoring value), and the monitoring value (e.g., may be represented by a specific score) corresponding to the CDN node that generates the node device monitoring value and the target network device corresponding to the node device monitoring value. In this embodiment, each node device monitoring value should include the three pieces of information, and each piece of information may be included in a different field of a communication message for transmitting the node device monitoring value, so that the central control server may obtain, by analyzing the message data, the node identifier of the CDN node that generates the node device monitoring value, the network device identifier of the target network device corresponding to the node device monitoring value, and the monitoring value included in the communication message.
Therefore, each CDN node respectively generates a plurality of node equipment monitoring values, and each CDN node reports the node equipment monitoring values generated by the node to the central control server. When the number of the target network device identifiers included in the device identifier set is M, each CDN node generates M node device monitoring values respectively corresponding to each target network device identifier. When the number of the CDN nodes is N, the central control server receives N×M node device monitoring values in total. Wherein N, M is a natural number.
In addition, in order to avoid the influence caused by the network jitter and other factors, the stability of the monitoring value is improved, in this embodiment, each CDN node may generate a plurality of node device monitoring values corresponding to different monitoring periods, respectively, for each target network device. In one case, each CDN node reports a plurality of node device monitoring values generated for each target network device and corresponding to different monitoring periods to the central server, where each node device monitoring value has corresponding monitoring time information, so that the central server performs summary processing according to the plurality of node device monitoring values corresponding to the same CDN node and the same target network device. In yet another case, each CDN node converts, through a preset operation rule, a plurality of node device monitoring values generated for each target network device and corresponding to different monitoring periods, into one node device monitoring value, and reports the node device monitoring value to the central server. For example, conversion is performed by calculating an average value between the monitor values of the plurality of node devices; alternatively, the conversion is performed by giving different weights to the plurality of node device monitor values and weighting them. The node equipment monitoring value with the later monitoring time is weighted more heavily, so that the latest data occupies a higher proportion. In practical application, the two cases can be used independently, may also be used in combination. When the two are combined, each CDN node generates a first number of node equipment monitoring values corresponding to different monitoring periods respectively for each target network equipment, converts the first number of node equipment monitoring values into a second number of node equipment monitoring values through a certain algorithm, and sends the second number of node equipment monitoring values to a central control server so that the central control server can determine the monitoring condition between the CDN node and the target network equipment according to the second number of node equipment monitoring values. Wherein the first number is greater than the second number. For example, each CDN node generates 10 node device monitoring values corresponding to different monitoring periods for each target network device, converts the 10 node device monitoring values into 5 node device monitoring values (for example, calculates a weighted average of every two adjacent node device monitoring values) through a certain algorithm, and sends the 5 node device monitoring values to the central server, so that the central server determines a monitoring condition between the CDN node and the target network device according to the 5 node device monitoring values. By the method, errors caused by network fluctuation can be avoided to the greatest extent.
In addition, when each CDN node generates a plurality of node device monitoring values corresponding to different monitoring periods respectively for each target network device, a specific number of the plurality of node device monitoring values generated for the target network device may be determined according to the weight of the target network device. In other words, the number of cycles to monitor for the target network device may be determined based on the weight of the target network device. For example, more periodic monitoring is performed for a target network device with higher weight and greater reference meaning, so as to obtain more monitoring values of node devices, thereby ensuring the accuracy of the monitoring result of the target network device.
Step S230: and determining performance detection results corresponding to each CDN node and each target network device according to the monitoring values of each node device returned by each CDN node.
In this step, the central control server can determine the performance detection result corresponding to each CDN node and each target network device by collecting and summarizing the monitoring values of each node device returned by each CDN node. The performance detection result is used for reflecting performance when the CDN node communicates with the target network equipment. Specifically, for each node device monitoring value returned by each CDN node, determining a performance detection result corresponding to the CDN node and a target network device corresponding to the node device monitoring value according to a node identifier of the CDN node generating the node device monitoring value and a network device identifier of the target network device corresponding to the node device monitoring value, which are included in the node device monitoring value returned by the CDN node.
Since one CDN node in this embodiment generates a plurality of node device monitoring values corresponding to different monitoring periods for the same target network device, each node device monitoring value uniquely corresponds to one CDN node and one target network device. Correspondingly, the central control server needs to extract node identifiers of CDN nodes and network equipment identifiers of target network equipment contained in the node equipment monitoring values, then collects a plurality of node equipment monitoring values containing the same node identifiers of the CDN nodes and the same network equipment identifiers into a group, calculates a calculation result corresponding to the summarized group of node equipment monitoring values according to a preset operation rule, and determines the calculation result as a performance detection result corresponding to the CDN nodes and the target network equipment. The preset operation rule may be an average rule, a median rule, or a weighted average rule. In the weighted average rule, different weights can be given successively according to the monitoring time of the monitoring values of each node device: the later the monitoring time, the higher the weight. In this way, it is assumed that the CDN node generates 5 node device monitoring values for the same target network device, where the 5 node device monitoring values are summarized into a group, and a performance detection result corresponding to the same target network device by the CDN node is calculated according to the 5 node device monitoring values. Specifically, the performance detection result may be represented by a score value or the like.
Step (a) S is S240: and determining node characteristics of each CDN node according to the node identification of the CDN node and the corresponding performance detection result of each target network device, and determining the device characteristics of the target network device according to the target network device identification of the target network device.
Wherein the performance probe results are for a CDN node and a particular target network device. For example, there is a performance probe result between the first CDN node and the IP1 in beijing communication, which is used to indicate a communication condition between the first CDN node and the IP1 in beijing communication. However, in practical situations, there may be multiple network devices with identical device features, and the multiple network devices may be clustered based on the device features to analyze the communication state between the network devices and the CDN nodes. Similarly, there may be multiple CDN nodes with identical node characteristics, and the multiple CDN nodes may be clustered based on the node characteristics to analyze a communication state between the CDN nodes and the network device.
Correspondingly, in this step, the performance detection result corresponding to each target network device for each CDN node is required, the node characteristics of the CDN node are determined according to the node identifier of the CDN node, and the device characteristics of the target network device are determined according to the target network device identifier of the target network device. When the node characteristics of the CDN node are determined according to the node identifier of the CDN node, node characteristics such as a node region and/or a node operator may be extracted, for example, the first CDN node and the second CDN node may be nodes in beijing communication, so that the first CDN node and the second CDN node may be grouped into one class. When the device characteristics of the target network device are determined according to the target network device identifier of the target network device, the device characteristics such as the device region and/or the device operator can be extracted, for example, the network devices of which both IP1 and IP5 are the Shanghai communication can be grouped into one type.
Step S250: clustering the performance detection results corresponding to each CDN node and each target network device according to the node characteristics and/or the device characteristics; and determining a performance summarization result corresponding to each node characteristic and/or equipment characteristic according to the clustering processing result.
Specifically, when clustering is performed, performance detection results corresponding to CDN nodes with the same node characteristics are mainly clustered into one type, and performance detection results corresponding to target network devices with the same device characteristics are clustered into one type. Preferably, the performance detection results with the same node characteristics and the same device characteristics can be grouped into one class.
In one case, the performance detection results corresponding to CDN nodes with the same node characteristics are gathered into one type, so that the performance summarization result corresponding to the node characteristics can be determined according to the clustering result. For example, assuming that three CDN nodes are all connected in the whole network, the three CDN nodes are grouped into one class, and by analyzing performance detection results corresponding to the three CDN nodes, performance summary results corresponding to the CDN nodes in the beijing connection can be determined. In the specific determination, a weighted average can be calculated for all performance detection results (or part of screened performance detection results) of the CDN nodes of the same class, so that a performance summarization result of the CDN nodes of the class is determined. The performance summary results are used for reflecting the service capability of the CDN node.
In still another case, performance detection results corresponding to target network devices with the same device characteristics are clustered into one category, so that a performance summarization result corresponding to the category of device characteristics can be determined according to the clustering processing result. For example, assuming that there are 10 target network devices that are all in the whole network, the 10 target network devices are grouped into one class, and by analyzing the performance detection results corresponding to the 10 target network devices, the performance summary results corresponding to the target network devices in Shanghai communication can be determined. In the specific determination, a weighted average can be calculated for all performance detection results (or part of screened performance detection results) of the same type of target network equipment, so that a performance summarizing result of the type of target network equipment is determined. The performance summary results are used to reflect the service capabilities of the class of target network devices.
In another case, the performance detection results corresponding to the CDN nodes with the same equipment characteristics and the same node characteristics are gathered into one type, so that the performance summarization results corresponding to the CDN nodes and the network equipment can be determined according to the clustering processing results. For example, assuming that the number of CDN nodes of beijing communication is 3 and the total number of target network devices of shanghai communication is 10 in the whole network range, the performance detection results corresponding to the 10 target network devices of the 3 CDN nodes are grouped into a class, and by analyzing the performance detection results corresponding to the 10 target network devices of the 3 CDN nodes, the performance summarization results corresponding to the target network devices of the shanghai communication and the CDN nodes of beijing communication can be determined. In the specific determination, the corresponding performance summary result can be determined by calculating a weighted average value. The performance summarization result is used for reflecting the service capability of the CDN node corresponding to the target network device.
In addition, when determining the performance summary result corresponding to each node feature and/or device feature according to the clustering result, the performance summary result corresponding to each node feature and/or device feature may be determined in combination with the weight of each target network device. For example, when the same class of target network devices is multiple, the proportion of the performance detection result corresponding to each target network device in the final performance summary result may be determined according to the weight of each target network device: the performance detection results corresponding to the target network equipment with larger weight share higher weight proportion in the weighted average process, so that the accuracy of the performance summarization results is improved.
Step S260: displaying performance summarization results corresponding to the node characteristics and/or the equipment characteristics; and/or, implementing DNS scheduling according to the performance summary results corresponding to the respective node characteristics and/or the device characteristics.
In one implementation of this step, performance summary results corresponding to each node feature and/or device feature are presented. When the display is specifically performed, the display can be performed according to at least one of the following three modes:
One way is as follows: and displaying the performance summarization results corresponding to the node characteristics from the dimension of the node characteristics. For example, the service condition of the CDN node of Beijing Unicom in the current stage and the service condition of the CDN node of Shanghai Unicom in the current stage are displayed, so that the service difference of the nodes is conveniently compared from the node dimension.
Another way is: and displaying performance summarization results corresponding to the equipment features from the dimensions of the equipment features. For example, the service condition of the Beijing Unicom target network device at the current stage and the service condition of the Tianjin telecom target network device at the current stage are displayed, so that the communication difference of the devices can be compared from the device dimension.
Yet another way is: and displaying performance summarization results corresponding to various CDN nodes and various target network devices from the dual dimensions of the node characteristics and the device characteristics. For example, for the CDN node of Beijing Unicom, the service condition of the CDN node and the target network device of Beijing Unicom in the current stage, the service condition of the CDN node and the target network device of Tianjin telecom in the current stage and the like are displayed, so that the comparison of the communication condition from the node dimension and the device dimension is facilitated.
In another implementation of this step, DNS scheduling is implemented according to a performance summary result corresponding to each node feature and/or device feature. Specifically, it is necessary to provide the performance summary results corresponding to each node feature and/or device feature to the DNS scheduling device, so that when receiving a domain name query request sent by a local DNS or other device, an IP address corresponding to a network device with better service performance is returned as a domain name query result according to the performance summary result. For example, the performance summary result corresponding to the CDN node and the target network devices can reflect that the coverage effect is better when the CDN node covers which target network devices, or that the coverage effect is better when the target network devices cover the CDN node. Correspondingly, according to the performance summarizing result, the IP address of the network equipment with better coverage effect can be selected to be provided for the requester.
For example, it is assumed that the first CDN node and the second CDN node are geographically close to each other and can be used to cover the region of the northwest gallery. Correspondingly, when a domain name resolution request is received, firstly, information such as a regional feature and an operator feature corresponding to the domain name resolution request is acquired, the domain name resolution request is assumed to be sent from a region of the Hebei gallery and sent through Beijing-connected network equipment, and correspondingly, the performance summarization result between the first CDN node and the Beijing-connected network equipment is superior to the performance summarization result between the second CDN node and the Beijing-connected network equipment through inquiring the performance summarization result, so that the IP address of the first CDN node can be provided as the domain name resolution result to a requester to achieve a better service effect.
In the implementation, the performance summary results corresponding to the node features and/or the equipment features can be dynamically updated every other preset period and provided for a preset dynamic configuration center module in real time, and the dynamic configuration center module can be shared by all the authorized DNS servers, so that the analysis results given by all the authorized DNS servers are more reliable.
In addition, the performance summary result can also estimate the performance of the newly-built node before the CDN node is newly built, so that a reference is provided for the deployment of the CDN node. In a word, the performance summarizing result can reflect the communication states between various CDN nodes and various network devices, so that the method can be widely applied to various fields such as CDN scheduling.
In summary, in the performance detection method of the CDN node disclosed by the present invention, a device identifier set including a plurality of target network device identifiers obtained in advance may be sent to a plurality of CDN nodes, and according to node device monitoring values between the node returned by each CDN node and each target network device corresponding to each target network device identifier included in the device identifier set, a performance detection result corresponding to each CDN node and each target network device may be determined. The performance detection result can reflect the performance effect when the CDN node covers a certain target network device, so that the performance condition when each CDN node covers a certain area is predicted in advance, the CDN node with the optimal performance can be selected for covering, and the user experience is improved. In addition, the method can also summarize the communication conditions between various CDN nodes and various network devices and provide the communication conditions for a DNS scheduling system so as to achieve better scheduling effect and ensure that the device IP contained in the domain name resolution result has optimal communication quality.
Fig. 3 is a device structure diagram of a CDN node performance detecting device according to still another embodiment of the present invention. As shown in fig. 3, the present apparatus includes:
the device identifier set sending module 31 is adapted to send the device identifier set including the plurality of target network device identifiers acquired in advance to a plurality of CDN nodes respectively;
the node device monitoring value receiving module 32 is adapted to receive node device monitoring values between the node returned by each CDN node and each target network device corresponding to each target network device identifier included in the device identifier set;
the performance probe result determining module 33 is adapted to determine, according to the monitoring values of the node devices returned by the CDN nodes, and determining performance detection results of each CDN node corresponding to each target network device.
Optionally, the node device monitoring value receiving module is specifically adapted to:
and receiving monitoring values of all node devices between the node and all target network devices calculated by all CDN nodes according to the packet loss rate and/or the transmission delay between the node and all target network devices.
Optionally, the each node device monitoring value includes at least one of the following information items:
The node identification of the CDN node generating the node equipment monitoring value, the network equipment identification of the target network equipment corresponding to the node equipment monitoring value, and the monitoring value corresponding to the CDN node generating the node equipment monitoring value and the target network equipment corresponding to the node equipment monitoring value.
Optionally, the performance detection result determining module is specifically adapted to:
and respectively aiming at each node equipment monitoring value returned by each CDN node, and determining a performance detection result corresponding to the CDN node and the target network equipment corresponding to the node equipment monitoring value according to the node identification of the CDN node generating the node equipment monitoring value and the network equipment identification of the target network equipment corresponding to the node equipment monitoring value contained in the node equipment monitoring value returned by the CDN node.
Optionally, the performance probe result determination module is further adapted to:
determining node characteristics of each CDN node according to node identifiers of the CDN nodes and corresponding performance detection results of each target network device, and determining device characteristics of the target network device according to the target network device identifiers of the target network devices;
Clustering the performance detection results corresponding to each CDN node and each target network device according to the node characteristics and/or the device characteristics;
and determining a performance summarization result corresponding to each node characteristic and/or equipment characteristic according to the clustering processing result.
Optionally, the apparatus further comprises:
the target network equipment weight setting module is suitable for setting weight for each target network equipment corresponding to each target network equipment identifier contained in the equipment identifier set according to the stability, equipment on-line time and/or link information corresponding to equipment of each target network equipment corresponding to each target network equipment identifier contained in the equipment identifier set;
the performance probe result determination module is specifically adapted to:
and combining the weight of each target network device to determine a performance summarization result corresponding to each node characteristic and/or device characteristic.
Optionally, the performance probe result determination module is further adapted to:
displaying the performance summarization results corresponding to the node characteristics and/or the equipment characteristics; and-or alternatively, the first and second heat exchangers may be,
and according to the performance summary results corresponding to the node characteristics and/or the equipment characteristics, DNS scheduling is realized.
Optionally, the node features include: node territory, and/or node operator, the device features include: a device domain, and/or a device operator.
Optionally, the target network device identifier is a target network device IP address, and the plurality of target network device identifiers included in the device identifier set are determined by:
determining the target network equipment identifiers according to the IP addresses of a preset machine room; and/or determining the target network device identifications according to domain name query records received by the authorized DNS server from the local DNS server.
Optionally, the apparatus further comprises:
and the candidate equipment IP address filtering module is suitable for filtering candidate equipment IP addresses which accord with preset filtering rules in the pre-collected candidate equipment IP addresses so as to obtain the equipment identification set containing the target network equipment identifications.
The specific structure and operation of each module described above may be described with reference to corresponding steps in the method embodiments, and will not be described in detail herein.
Fig. 5 is a schematic structural diagram of a CDN node performance detection system according to another embodiment of the present invention, where, as shown in fig. 5, the system includes: such as the performance probe device 51 of the CDN node of fig. 3, and a plurality of CDN nodes 52 (only one CDN node is shown in fig. 5, in practice, a plurality of CDN nodes should be shown) respectively connected to the performance probe device 51.
The specific working principle of each device in the system can refer to the description of corresponding parts in the method embodiment, and the description is omitted here.
The embodiment of the application provides a non-volatile computer storage medium, and the computer storage medium stores at least one executable instruction, and the computer executable instruction can execute the performance detection method of the CDN node in any of the method embodiments.
Fig. 4 shows a schematic structural diagram of an electronic device according to an embodiment of the present invention, and the specific embodiment of the present invention is not limited to the specific implementation of the electronic device.
As shown in fig. 4, the electronic device may include: a processor 402, a communication interface (Communications Interface) 404, a memory 406, and a communication bus 408.
Wherein:
processor 402, communication interface 404, and memory 406 communicate with each other via communication bus 408.
A communication interface 404 for communicating with network elements of other devices, such as clients or other servers.
The processor 402 is configured to execute the program 410, and may specifically execute relevant steps in the foregoing embodiments of the CDN node performance probing method.
In particular, program 410 may include program code including computer-operating instructions.
The processor 402 may be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present invention. The one or more processors included in the electronic device may be the same type of processor, such as one or more CPUs; but may also be different types of processors such as one or more CPUs and one or more ASICs.
Memory 406 for storing programs 410. Memory 406 may comprise high-speed RAM memory or may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
Program 410 may be specifically operative to cause processor 402 to perform the operations in the method embodiments described above.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general-purpose systems may also be used with the teachings herein. The required structure for a construction of such a system is apparent from the description above. In addition, the present invention is not directed to any particular programming language. It will be appreciated that the teachings of the present invention described herein may be implemented in a variety of programming languages, and the above description of specific languages is provided for disclosure of enablement and best mode of the present invention.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be construed as reflecting the intention that: i.e., the claimed invention requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the apparatus of the embodiments may be adaptively changed and disposed in one or more apparatuses different from the embodiments. The modules or units or components of the embodiments may be combined into one module or unit or component and, furthermore, they may be divided into a plurality of sub-modules or sub-units or sub-components. Except insofar as at least some of such features and/or processes or elements are mutually exclusive, all of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or units of any method or apparatus so disclosed, may be combined in any combination. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings), may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.
Various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that some or all of the functions of some or all of the components in a CDN node performance probe device according to an embodiment of the present invention may be implemented in practice using a microprocessor or Digital Signal Processor (DSP). The present invention can also be implemented as an apparatus or device program (e.g., a computer program and a computer program product) for performing a portion or all of the methods described herein. Such a program embodying the present invention may be stored on a computer readable medium, or may have the form of one or more signals. Such signals may be downloaded from an internet website, provided on a carrier signal, or provided in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names.
Claims (23)
1. A performance detection method of CDN nodes comprises the following steps:
respectively transmitting a device identifier set which is obtained in advance and contains a plurality of target network device identifiers to a plurality of CDN nodes;
receiving node equipment monitoring values between the node returned by each CDN node and each target network equipment corresponding to each target network equipment identifier contained in the equipment identifier set;
And determining performance detection results corresponding to each CDN node and each target network device according to the monitoring values of each node device returned by each CDN node.
2. The method of claim 1, wherein the receiving the node device monitoring value between the home node returned by each CDN node and each target network device corresponding to each target network device identifier included in the device identifier set includes:
and receiving monitoring values of all node devices between the node and all target network devices calculated by all CDN nodes according to the packet loss rate and/or the transmission delay between the node and all target network devices.
3. The method of claim 1 or 2, wherein the each node device monitoring value comprises at least one of the following information items:
the node identification of the CDN node generating the node equipment monitoring value, the network equipment identification of the target network equipment corresponding to the node equipment monitoring value, and the monitoring value corresponding to the CDN node generating the node equipment monitoring value and the target network equipment corresponding to the node equipment monitoring value.
4. The method of claim 3, wherein the determining, according to the monitoring values of the node devices returned by the CDN nodes, performance probing results of the CDN nodes corresponding to the target network devices includes:
And respectively aiming at each node equipment monitoring value returned by each CDN node, and determining a performance detection result corresponding to the CDN node and the target network equipment corresponding to the node equipment monitoring value according to the node identification of the CDN node generating the node equipment monitoring value and the network equipment identification of the target network equipment corresponding to the node equipment monitoring value contained in the node equipment monitoring value returned by the CDN node.
5. The method of claim 4, wherein the determining, for each node device monitoring value returned by each CDN node, a performance probe result corresponding to the target network device corresponding to the node device monitoring value and the CDN node according to the node identifier of the CDN node generating the node device monitoring value and the network device identifier of the target network device corresponding to the node device monitoring value included in the node device monitoring value returned by the CDN node, further includes:
determining node characteristics of each CDN node according to node identifiers of the CDN nodes and corresponding performance detection results of each target network device, and determining device characteristics of the target network device according to the target network device identifiers of the target network devices;
Clustering the performance detection results corresponding to each CDN node and each target network device according to the node characteristics and/or the device characteristics;
and determining a performance summarization result corresponding to each node characteristic and/or equipment characteristic according to the clustering processing result.
6. The method of claim 5, wherein prior to performing the method, further comprising:
setting weights for all target network devices corresponding to all target network device identifications contained in the device identification set according to the stability, the device on-line time and/or the link information corresponding to the devices of all target network devices corresponding to all target network device identifications contained in the device identification set;
the step of determining the performance summary result corresponding to each node characteristic and/or equipment characteristic according to the clustering result comprises the following steps:
and combining the weight of each target network device to determine a performance summarization result corresponding to each node characteristic and/or device characteristic.
7. The method according to any one of claims 5-6, wherein after determining the performance summary result corresponding to each node feature and/or device feature, further comprising:
Displaying the performance summarization results corresponding to the node characteristics and/or the equipment characteristics; and/or the number of the groups of groups,
and according to the performance summary results corresponding to the node characteristics and/or the equipment characteristics, DNS scheduling is realized.
8. The method of any of claims 5-7, wherein the node characteristics comprise: node territory, and/or node operator, the device features include: a device domain, and/or a device operator.
9. The method according to any of claims 1-8, wherein the target network device identity is a target network device IP address and the plurality of target network device identities comprised in the set of device identities are determined by:
determining the target network equipment identifiers according to the IP addresses of a preset machine room; and/or determining the target network device identifications according to domain name query records received by the authorized DNS server from the local DNS server.
10. The method of claim 9, wherein, and prior to execution of the method, further comprising:
filtering candidate equipment IP addresses which accord with preset filtering rules in the pre-collected candidate equipment IP addresses to obtain the equipment identification set containing the target network equipment identifications.
11. A performance probe apparatus for CDN nodes, comprising:
the device identification set sending module is suitable for respectively sending the device identification set which is obtained in advance and contains a plurality of target network device identifications to a plurality of CDN nodes;
the node equipment monitoring value receiving module is suitable for receiving node equipment monitoring values between the node returned by each CDN node and each target network equipment corresponding to each target network equipment identifier contained in the equipment identifier set;
the performance detection result determining module is suitable for determining performance detection results corresponding to each CDN node and each target network device according to each node device monitoring value returned by each CDN node.
12. The apparatus of claim 11, wherein the node device monitoring value receiving module is specifically adapted to:
and receiving monitoring values of all node devices between the node and all target network devices calculated by all CDN nodes according to the packet loss rate and/or the transmission delay between the node and all target network devices.
13. The apparatus of claim 11 or 12, wherein the each node device monitoring value comprises at least one of the following information items:
The node identification of the CDN node generating the node equipment monitoring value, the network equipment identification of the target network equipment corresponding to the node equipment monitoring value, and the monitoring value corresponding to the CDN node generating the node equipment monitoring value and the target network equipment corresponding to the node equipment monitoring value.
14. The apparatus of claim 13, wherein the performance probe result determination module is specifically adapted to:
and respectively aiming at each node equipment monitoring value returned by each CDN node, and determining a performance detection result corresponding to the CDN node and the target network equipment corresponding to the node equipment monitoring value according to the node identification of the CDN node generating the node equipment monitoring value and the network equipment identification of the target network equipment corresponding to the node equipment monitoring value contained in the node equipment monitoring value returned by the CDN node.
15. The apparatus of claim 14, wherein the performance probe result determination module is further adapted to:
determining node characteristics of each CDN node according to node identifiers of the CDN nodes and corresponding performance detection results of each target network device, and determining device characteristics of the target network device according to the target network device identifiers of the target network devices;
Clustering the performance detection results corresponding to each CDN node and each target network device according to the node characteristics and/or the device characteristics;
and determining a performance summarization result corresponding to each node characteristic and/or equipment characteristic according to the clustering processing result.
16. The apparatus of claim 15, wherein the apparatus further comprises:
the target network equipment weight setting module is suitable for setting weight for each target network equipment corresponding to each target network equipment identifier contained in the equipment identifier set according to the stability, equipment on-line time and/or link information corresponding to equipment of each target network equipment corresponding to each target network equipment identifier contained in the equipment identifier set;
the performance probe result determination module is specifically adapted to:
in conjunction with the weights of the individual target network devices, a performance summary result corresponding to each node feature and/or device feature is determined.
17. The apparatus of any of claims 15-16, wherein the performance probe result determination module is further adapted to:
displaying the performance summarization results corresponding to the node characteristics and/or the equipment characteristics; and/or the number of the groups of groups,
And according to the performance summary results corresponding to the node characteristics and/or the equipment characteristics, DNS scheduling is realized.
18. The apparatus of any of claims 15-17, wherein the node characteristic comprises: node territory, and/or node operator, the device features include: a device domain, and/or a device operator.
19. The apparatus of any of claims 11-18, wherein the target network device identification is a target network device IP address, and the plurality of target network device identifications included in the set of device identifications are determined by:
determining the target network equipment identifiers according to the IP addresses of a preset machine room; and/or determining the target network device identifications according to domain name query records received by the authorized DNS server from the local DNS server.
20. The apparatus of claim 19, wherein the apparatus further comprises:
and the candidate equipment IP address filtering module is suitable for filtering candidate equipment IP addresses which accord with preset filtering rules in the pre-collected candidate equipment IP addresses so as to obtain the equipment identification set containing the target network equipment identifications.
21. A performance probing system for CDN nodes, comprising: the CDN node performance detecting apparatus as recited in any one of claims 11 to 20, and a plurality of CDN nodes each coupled to the performance detecting apparatus.
22. An electronic device, comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
the memory is configured to store at least one executable instruction, where the executable instruction causes the processor to perform an operation corresponding to the CDN node performance probing method according to any one of claims 1 to 10.
23. A computer storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the CDN node performance probing method of any one of claims 1 to 10.
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104618506A (en) * | 2015-02-24 | 2015-05-13 | 庄奇东 | Crowd-sourced content delivery network system, method and device |
| CN104702439A (en) * | 2015-03-16 | 2015-06-10 | 北京百度网讯科技有限公司 | Network node monitoring method and device |
| CN104836732A (en) * | 2015-03-31 | 2015-08-12 | 清华大学 | Network connection automatic selection method and system |
| CN106533722A (en) * | 2015-09-11 | 2017-03-22 | 北京国双科技有限公司 | Network monitoring method and network monitoring device |
| CN106888106A (en) * | 2015-12-16 | 2017-06-23 | 国家电网公司 | The extensive detecting system of IT assets in intelligent grid |
| CN106992938A (en) * | 2017-05-15 | 2017-07-28 | 网宿科技股份有限公司 | A kind of network traffics dynamic dispatching distribution method and system |
| WO2017181587A1 (en) * | 2016-04-20 | 2017-10-26 | 乐视控股（北京）有限公司 | Method and electronic equipment for managing nodes in cdn |
| CN107645525A (en) * | 2016-07-21 | 2018-01-30 | 阿里巴巴集团控股有限公司 | Detection processing, dispatching method and related device, the node of content distributing network |
| CN107707378A (en) * | 2017-06-29 | 2018-02-16 | 贵州白山云科技有限公司 | A kind of CDN covering scheme generation methods and device |
| CN107896241A (en) * | 2017-10-23 | 2018-04-10 | 东软集团股份有限公司 | Detection method, device, storage medium and the electronic equipment of network access speed |
| CN108173952A (en) * | 2017-12-29 | 2018-06-15 | 北京奇虎科技有限公司 | A kind of data access method and device of content distributing network CDN |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8688775B2 (en) * | 2010-05-28 | 2014-04-01 | Juniper Network, Inc. | Application-layer traffic optimization service spanning multiple networks |
| US8943170B2 (en) * | 2011-07-08 | 2015-01-27 | Ming Li | Content delivery network aggregation with selected content delivery |
| CN102946551B (en) * | 2012-10-18 | 2015-06-10 | 中兴通讯股份有限公司 | Fusion device, system and method for realizing IPTV service |
| US10623264B2 (en) * | 2017-04-20 | 2020-04-14 | Cisco Technology, Inc. | Policy assurance for service chaining |
-
2018
- 2018-12-26 CN CN201811603689.1A patent/CN111371826B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104618506A (en) * | 2015-02-24 | 2015-05-13 | 庄奇东 | Crowd-sourced content delivery network system, method and device |
| CN104702439A (en) * | 2015-03-16 | 2015-06-10 | 北京百度网讯科技有限公司 | Network node monitoring method and device |
| CN104836732A (en) * | 2015-03-31 | 2015-08-12 | 清华大学 | Network connection automatic selection method and system |
| CN106533722A (en) * | 2015-09-11 | 2017-03-22 | 北京国双科技有限公司 | Network monitoring method and network monitoring device |
| CN106888106A (en) * | 2015-12-16 | 2017-06-23 | 国家电网公司 | The extensive detecting system of IT assets in intelligent grid |
| WO2017181587A1 (en) * | 2016-04-20 | 2017-10-26 | 乐视控股（北京）有限公司 | Method and electronic equipment for managing nodes in cdn |
| CN107645525A (en) * | 2016-07-21 | 2018-01-30 | 阿里巴巴集团控股有限公司 | Detection processing, dispatching method and related device, the node of content distributing network |
| CN106992938A (en) * | 2017-05-15 | 2017-07-28 | 网宿科技股份有限公司 | A kind of network traffics dynamic dispatching distribution method and system |
| CN107707378A (en) * | 2017-06-29 | 2018-02-16 | 贵州白山云科技有限公司 | A kind of CDN covering scheme generation methods and device |
| CN107896241A (en) * | 2017-10-23 | 2018-04-10 | 东软集团股份有限公司 | Detection method, device, storage medium and the electronic equipment of network access speed |
| CN108173952A (en) * | 2017-12-29 | 2018-06-15 | 北京奇虎科技有限公司 | A kind of data access method and device of content distributing network CDN |
Non-Patent Citations (2)
| Title |
|---|
| SFDHT: A DHT Designed for Server Farm;Lichun Li et.al;GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference;20100304;全文 * |
| 信息中心网络中内容处理相关技术研究;郭嵩;中国优秀硕士学位论文全文数据库;20180215;全文 * |
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